🇸🇬Singapore·AI News·7 Nov 2026·via Google News

    Huawei Releases Standalone HarmonyOS PC Assistant With Office Task Automation - Pandaily

    Huawei has launched a standalone HarmonyOS PC Assistant for office task automation. This release aligns with Huawei Cloud's planned November 15 introduction of openPangu-2.1-Pro, an AI model reported to enhance HarmonyOS tasks, with Huawei's Xiaoyi Work being among its first applications. Concurrently, Huawei Cloud is discontinuing its Pangu 2.0 models and retiring two openPangu models from its Model-as-a-Service platform, recommending DeepSeek and GLM as alternatives.

    Huawei's introduction of a new PC Assistant for HarmonyOS, focused on office task automation, is directly connected to the upcoming openPangu-2.1-Pro AI model. This new model is specifically described as enhancing "HarmonyOS Task Enhancement" and will power applications such as Huawei's Xiaoyi Work. This coordinated development suggests a strategic effort to embed advanced AI capabilities directly into Huawei's operating system, aiming to streamline user workflows and bolster its software ecosystem.

    This internal AI development comes alongside a reported shift in Huawei Cloud's external AI model offerings. The company is discontinuing its Pangu 2.0 models and retiring two existing openPangu models from its Model-as-a-Service platform. By recommending third-party alternatives like DeepSeek and GLM, Huawei appears to be consolidating its internal AI development efforts around newer, more specialized models, particularly those with direct applications in its core HarmonyOS environment.

    The transition indicates a strategic recalibration in Huawei's AI model portfolio. Rather than maintaining a broad suite of foundational models on its cloud platform, the company seems to be focusing on proprietary AI developments that directly enhance its HarmonyOS ecosystem and branded applications. This approach could allow for tighter integration and optimized performance within its own hardware and software stack, while relying on external partners for other general-purpose model needs.

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